scholarly journals Genome-Wide Association Mapping of Mixed Linkage (1,3;1,4)-β-Glucan and Starch Contents in Rice Whole Grain

2021 ◽  
Vol 12 ◽  
Author(s):  
Rahele Panahabadi ◽  
Asadollah Ahmadikhah ◽  
Lauren S. McKee ◽  
Pär K. Ingvarsson ◽  
Naser Farrokhi
Keyword(s):  
Genome Wide Association Study ◽  
Starch Content ◽  
Economic Value ◽  
Industrial Applications ◽  
Genome Wide Association ◽  
Whole Grain ◽  
Rice Grains ◽  
Genome Wide ◽  
Grain Starch ◽  
Key Factor

The glucan content of rice is a key factor defining its nutritional and economic value. Starch and its derivatives have many industrial applications such as in fuel and material production. Non-starch glucans such as (1,3;1,4)-β-D-glucan (mixed-linkage β-glucan, MLG) have many benefits in human health, including lowering cholesterol, boosting the immune system, and modulating the gut microbiome. In this study, the genetic variability of MLG and starch contents were analyzed in rice (Oryza sativa L.) whole grain, by performing a new quantitative analysis of the polysaccharide content of rice grains. The 197 rice accessions investigated had an average MLG content of 252 μg/mg, which was negatively correlated with the grain starch content. A new genome-wide association study revealed seven significant quantitative trait loci (QTLs) associated with the MLG content and two QTLs associated with the starch content in rice whole grain. Novel genes associated with the MLG content were a hexose transporter and anthocyanidin 5,3-O-glucosyltransferase. Also, the novel gene associated with the starch content was a nodulin-like domain. The data pave the way for a better understanding of the genes involved in determining both MLG and starch contents in rice grains and should facilitate future plant breeding programs.

Genome-wide association study of the resistant starch content in rice grains

2017 ◽  
Vol 69 (7-8) ◽  
pp. 1600343 ◽  
Author(s):  
Jinsong Bao ◽  
Xin Zhou ◽  
Feifei Xu ◽  
Qiang He ◽  
Yong-Jin Park
Keyword(s):  
Association Study ◽  
Resistant Starch ◽  
Genome Wide Association Study ◽  
Starch Content ◽  
Genome Wide Association ◽  
Rice Grains ◽  
Genome Wide

scholarly journals Rice (Oryza Sativa L.) Whole Grain Genome-Wide Association Study for Neutral Sugar Content

2021 ◽  
Author(s):  
Rahele Panahabadi ◽  
Lauren S. McKee ◽  
Asadollah Ahmadikhah ◽  
Pär K. Ingvarsson ◽  
Naser Farrokhi
Keyword(s):  
Cell Wall ◽  
Transcription Factor ◽  
Protein Kinase ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Arabinogalactan Protein ◽  
Whole Grain ◽  
Genome Wide ◽  
Cell Wall Matrix

Abstract Background Cell wall matrix polysaccharides are structurally complex and diverse, but our knowledge about their synthesis is limited. The building blocks (monosaccharides) of these polysaccharides have critical role in defining the number and the ultrastructure (size) of rice grains, and therefore would have great influence on seed vigor, yield and quality. Genome-wide association study (GWAS) is a method of choice for fine mapping of QTLs involved in defining plant cell wall structure and modifications. The monosaccharides that contribute to major cell wall matrix polysaccharides in whole grains of 197 rice accessions were quantified using acid hydrolysis and high-performance anion-exchange chromatography with pulsed amperometric detection. A GWAS of calculated monosaccharide content in rice whole grain (RWG) was carried out using 33,812 single-nucleotide polymorphisms (SNPs) to identify corresponding markers in 200 kbp flanking regions.Results In total, 49 significant SNPs contained in 19 genomic regions (QTLs) on eight chromosomes of rice were determined to be associated with monosaccharides content. The candidate genes in QTL regions included the following: arabinose content was associated with α-N-arabinofuranosidase, pectinesterase inhibitor, a glycoside hydrolase (GH) from family 16 (GH16 enzyme); xylose content was associated with ethylene-responsive element-binding protein and a pyruvate kinase; mannose content was associated with a MYB family transcription factor and S-domain receptor-like protein kinase; galactose content was associated with a glycocyltransferase (GT) from family 8 (GT8 enzyme), GRAS family transcription factor, glutathione S-transferase, GH16 and GH17 enzymes; fucose content was associated with a GH16 enzyme, lysine-rich arabinogalactan protein 19 and a receptor protein kinase; and finally rhamnose content was associated with OsFBX41, pectinesterase, COBRA-like protein, and OsSAUR13 (Auxin-responsive SAUR).Conclusion The results of this study should improve our understanding of the genetic basis of the factors that might be involved in the biosynthesis and turnover of major matrix polysaccharides present in RWG. Several QTLs were identified on different chromosomes, all are reported for first. Further, our data provide insight that will be useful in the design of future breeding programs, allowing breeders to use available genetic resources more effectively in meeting global food demand and supply.

Genome wide association study on memory in schizophrenia patients and unaffected probands

2009 ◽  
Vol 42 (05) ◽  
Author(s):  
B Konte ◽  
I Giegling ◽  
AM Hartmann ◽  
H Konnerth ◽  
P Muglia ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide

1701-P: Genome-Wide Association Study Identifies Novel Potential Associations with Birth Weight in a Southwestern American Indian Population

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1701-P
Author(s):  
LAUREN E. WEDEKIND ◽  
WEN-CHI HSUEH ◽  
SAYUKO KOBES ◽  
MUIDEEN T. OLAIYA ◽  
WILLIAM C. KNOWLER ◽  
...  
Keyword(s):  
Birth Weight ◽  
American Indian ◽  
Association Study ◽  
Indian Population ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
American Indian Population ◽  
Genome Wide

The First Genome-Wide Association Study (GWAS) for Type 2 Diabetes in Youth from the Progress in Diabetes Genetics in Youth (ProDiGY) Collaboration

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1703-P ◽  
Author(s):  
SHYLAJA SRINIVASAN ◽  
JENNIFER TODD ◽  
LING CHEN ◽  
JASMIN DIVERS ◽  
SAM GIDDING ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide ◽  
Diabetes Genetics ◽  
Diabetes In Youth
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